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Okay.

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So this is the second level two application you are going to learn.

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As you can see this is a very simple application.

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A the user is going to enter a topic and the application is going to create a blog post about this topic.

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Some interesting things we see in this user interface is that we have created a sidebar.

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Okay, so you will see the code to create a sidebar in the in your GitHub code.

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Okay.

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So uh, let's first uh, test this application.

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So the first thing we need to do is to load to enter our OpenAI key.

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And then we are going to enter a topic.

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For example, we say it it is a creating a default topic for us with the previous with the previous

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uh, search uh, query we use here.

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But we are going to create a different one with a new query.

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Let's see for example the future.

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Of LM applications.

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And then we click enter.

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And you see.

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The application is going to generate a blog post of 365 words for us.

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Okay, first of all, first of all, let's define what an application is, blah blah blah, whatever.

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Okay, so as the previous level two application, you have to see this prototypes as very simple examples

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that can do really wonderful things when they become professional applications.

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So a when we are developing prototypes we are usually working with very small, uh, sizes like okay,

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let's enter just one topic here.

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Let's uh, do a functionality with a very small number of items.

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But this is just a, a, a way to, to, to have a more simple prototype.

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And then when we go to the professional stage, we can go as complex and, you know, sophisticated

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as we want.

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But the important thing for the prototype is to be simple, to be easy, to be fast.

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Okay.

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So let's take a look at the code you are going to download from GitHub.

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Remember and don't worry about this hidden file.

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This is a default file that is created whenever you are creating a folder in in in in a mac computer.

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Don't worry about that.

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Just about these two files.

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Remember that we are not going to have a dot m file here because we are not using our secret credentials

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because we are asking the user to enter his OpenAI credentials.

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So just these two files requirements and main.

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In the requirements file, we have the three packages we are using.

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We know about them, and in the main.py file we have a functionality that mostly, uh, you know okay.

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So everything you see here, uh, this LM template, Prom template, etc., etc. is something you already

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know.

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The excuse me, the elements that may be new for you are the Streamlit elements that start with St in

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most cases, like this one, for example.

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As you see, you can guess what this is doing, but you can go to the streamlined documentation if you

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need it.

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But you know we are generating the title of the page, etc. etc., right?

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But remember that with Streamlit we are going to use Python functions to encapsulate the lang chain

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logic in order to call this logic whenever we are ready.

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Okay, so this very simple logic, in order to create a very simple prototype.

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Now you download the code, you test this application locally in your own computer.

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Uh, when you have experimented enough, uh, tried, you know, experiment, change, make mistakes,

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ask ChatGPT for, go to the Streamlit documentation, go to W3 Schools.com documentation about Python,

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go to the launching documentation, etc. etc..

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Remember all the operations you have done in the previous blog with level one applications etc. and

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then when you feel comfortable if you want to, you can load this application in your own GitHub repository.

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And then from your Streamlit uh, community free account, you can also generate your own URL for your

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application in the cloud.

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But this is not necessary.

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And you did this in the previous, uh, application for the initial level two application.

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But it can be an interesting exercise this time as well.

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So remember right now the focus, the priority is to practice, practice, practice until you feel comfortable

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with this application.

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First you execute our code.

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Then you write it again.

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You try to understand what you are writing.

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Whenever you have a doubt, you go to the ChatGPT for the extremely documentation, etc. etc. and once

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you feel comfortable and only then you go to the next application.